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You can be a street photographer if you own a camera. You can start it from anywhere you want. But it sounds easy, right? Though it's not that easy! You have to be a complete photographer with the knowledge of the technical skills, but also building up knowledge of human nature. You have to see things before they happen in order to be ready for the decisive moment. The The Art of Street Photography Online Course is designed to welcome you to the world and genre of street photography. It aims to open your eyes to the spontaneous nature of the 'every day' that is out there and to help you document (photograph) the weird and wonderful street scenes that pass us by without notice. The workshop will guide you towards the appropriate equipment needed for street photography and how to use that equipment to its full potential. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then The Art of Street Photography Online Course is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the accredited qualification. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at any time. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £20,300. The sky really is the limit. Course Curriculum Module: 01 Photography with Anthony Promo FREE 00:01:00 Introduction 00:02:00 What is Street Photography 00:03:00 Equipment Recommendations 00:02:00 Basic Settings 00:04:00 Intro to Strongest I'II Ever Be 00:15:00 Module: 02 Where Shoot Photos 00:04:00 How to Take Photos of Strangers 00:14:00 Composing Better Photos 00:09:00 Portrait - Face in the Shadows 00:02:00 Portrait - Capturing Raw Emotions 00:05:00 Portrait - When Life Gives You Lemons 00:02:00 Module: 03 Portrait - Get Up Close and Personal 00:01:00 Portrait - Silhouettes and the Power of RAW 00:02:00 Portrait - When You Can't Take a Portrait 00:03:00 Portrait - Can I Take Your Photograph While We're Talking 00:02:00 Portrait - Ease Your Way Into the Shot 00:01:00 Portrait - Wait for the Right Moment 00:02:00 Module: 04 Lighting - Drama and Lens Flares 00:02:00 Architecture - Seeing the Beauty in the Small Things 00:01:00 Lighting - Taking Photos at High Noon 00:02:00 Lighting - Photographing the Sun 00:01:00 Silhouette - Walking Away 00:01:00 Lighting - Back Lighting and Shadows 00:02:00 Module: 05 Be Ready for Any Moment 00:01:00 Find Your Frame and Be Patient 00:01:00 When Your Subject Walk on By 00:01:00 Where Preparation and Luck Meet 00:01:00 Sharing Your Work 00:06:00 Thank You 00:02:00

Getting Started Enhance your career and earn the highest qualification available in business and management. The Doctor of Business Administration taught and awarded by the University of Central Lancashire is designed for senior managers and consultants who wish to learn and earn an advanced administration level while working full-time. DBA is a demanding research-based programme suitable for candidates pursuing higher-level business administration qualifications after an MBA. This programme provides a solid foundation in various aspects of business, including management, marketing, finance, and operations. Students can expect to gain practical insights into real-world business scenarios, enabling them to make informed decisions and solve complex problems effectively. You're learning journey will include: Lectures and guided reading. Active group work. Case studies. Videos. Reviews of current events and student presentations. You'll develop applied research skills as you evaluate industry-related problems critically. Throughout the programme, students receive support from experienced academics and industry professionals who provide guidance and feedback on their research projects. The programme is delivered through online webinars and independent study, allowing students to balance their studies with work and personal commitments. Doctor of Business Administration is awarded and delivered by the University of Central Lancashire. School of Business and Technology London partners with Chestnut Education Group to promote this Doctor of Business Administration programme.  About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Assignments and Project No examination Entry Requirements Applicants should normally have a Master's degree or equivalent and work in or have recently worked with in business administration. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Progression Upon completing the doctorate programme, learners will possess the necessary skills and knowledge to pursue various career opportunities in administration, management research, etc. One can choose from various positions upon successfully completing a DBA. Some of the most notable career paths are Professor and Postdoctoral Researcher, Market Research Analyst, Economic Analyst, etc. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. Structure Phase 1: Qualifi Level 8 Diploma in Strategic Management and Leadership Programme Structure The course is structured around eight mandatory units, encompassing various topics aligned with learning outcomes. Each unit holds a value of 20 credits. Learners can participate in lectures and workshops to familiarize themselves with the subject. Attaining a total of 160 credits by completing all units is a prerequisite for the issuance of the Diploma. Unit 800: Leadership Qualities and Practice Unit code: A/506/9126 This unit delves into the connections between leadership and management within strategic operations. It scrutinizes various leadership styles, their underlying principles, and associated concepts. The unit also investigates methods to assess and enhance team performance to achieve strategic business and operational goals. Additionally, it encompasses the interplay between strategic management and leadership, containing crucial leadership principles, theories, and their alignment with organizational strategy. Unit 701: Research Methods Unit code: Y/506/9134 The objective of this unit is to enhance the learner's knowledge and comprehension of academic practices and research methodologies. It employs a problem-based learning approach to cultivate practical proficiency in areas relevant to educational practice and research in business and management. Unit 801: Personal Leadership Development as a Strategic Manager Unit code: F/506/9127 This unit focuses on the strategic leadership skills essential for directors and senior managers to effectively guide international organizational strategic initiatives, collaborating with partners, buyers, suppliers, customers, and competitors. Unit 802: Strategy Development in Cross Border and Global Organisations Unit code: F/506/9130 This unit tackles formulating strategies for cross-border or global organizations, which encounter complexities stemming from political, religious, cultural, and social differences, as well as the management of organizations operating within specific country boundaries. Unit 803: Strategic Planning for Cross Border and Global Organisations Unit code: L/506/9132 This unit scrutinises the diverse influences and effects on cross-border or global organisations and how they contribute to the development of successful strategies and the mitigation of risks. Unit 804: Strategic Direction in Cross Border and Global Organisations Unit code: R/506/9133 This unit provides senior strategic managers with the opportunity to delve into the influences and effects of cross-border and global policy and strategy. It aims to facilitate enhancements in establishing direction, shaping the approach, and forecasting the success of cross-border or worldwide policy and procedure. Unit 805: Strategic Communication Unit code: L/506/9129 The unit aims to develop the ability to critically assess and appreciate the impact of media on international organisations. It considers stakeholders, political and pressure groups, as well as the part played by media owners. Unit 806: Culture and its Impact on Strategy Unit code: J/506/9128 This unit strives to foster a profound comprehension of the intricacies faced by internationally operating organizations and how this impacts the strategy development process. It employs well-reasoned and thoroughly researched perspectives to cultivate alternative viewpoints.   Phase 2 - Doctor of Business Administration Programme Structure Stage 1 - Taught component The Reflexive Practitioner Management, Rhetoric, Policy and Practice Research Methodologies and Design Qualitative Research Methods Quantitative Research Methods Accordion Title Stage 2 - Research component The Reflexive Practitioner     Delivery Methods The Doctor of Business Administration is awarded and delivered by the University of Central Lancashire. This doctorate from the University of Central Lancashire is offered as a block teaching and research programme. The DBA will run at the Preston Campus of the University. You'll have full access to the Library and information resources of the University throughout the DBA and may use all social, cultural and sports facilities of the University. Stage 1 - Taught component The DBA Taught Programme consists of six taught modules, each being completed through a four-day intensive workshop plus a period of private study both before and after the workshop. During Stage 1 you will develop critical and reflective skills at doctoral level, through the requirement to think conceptually, apply critical thinking, and reasoning skills and to challenge orthodoxy relating to the body of knowledge and research relating to Management and Organisation. Action learning is incorporated within the study sessions and is an important and distinctive feature of our DBA. You will work in sets or small development groups with fellow participants throughout the programme and also develop your skills as a critical and reflective learner. Stage 2 - Research component The DBA Research Programme - as part of the development process of your DBA project, you will have worked with the DBA staff to agree a suitable supervisory team, including a Director of Studies. This team will work with you throughout Stage 2 helping you to design and implement your own particular DBA project. This will normally take two years working on a part-time basis although you may choose to work at a pace that requires more time and you may therefore take up to five years. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

About this Virtual Instructor Led Certificate Training Course (VILT) Asset maintenance and equipment reliability teams play a significant role to ensure that there is no room for downtime and losses in production. They are often recognised for their contribution and ability to keep assets running productively in today's organisations. The Certificate in Asset Management Virtual Instructor Led Training (VILT) course will provide those involved in Asset Management with a full explanation of the key processes to manage assets across their lifecycle. This recognised VILT course has been designed to equip participants with practical skills to take back to work. This VILT course enables participants to ensure their organisation's assets are realising their full value in support of the organisation's objectives. Accredited by the Institute of Asset Management (IAM), this VILT course will prepare participants to sit for the IAM Asset Management Certificate qualification. The IAM exam is offered as an option for participants of this VILT course. Training Objectives By the end of this VILT course, participants will be able to: Understand the key principles, tools and terminology of Asset Management, and demonstrate how it will benefit your organisation Gain familiarity in the application of ISO 55000 in practice Access a range of models that will support the implementation of asset management in your organisation Assess your understanding of the current tools and concepts applied in Asset Management Capture new ideas and skills that will enhance performance and be better prepared for the Institute of Asset Management (IAM) Certificate Examination Target Audience This VILT course will benefit maintenance managers, operations managers, asset managers and reliability professionals, planners and functional specialists. It will also be useful for facilities engineers, supervisors/managers and structural engineers/supervisors/ and managers. IAM Qualifications Syllabi This document details the scope of the individual topics which comprise the examination modules, and how the exams are assessed. It is important that prospective candidates understand the scope of the modules to determine the preparation required. Download here IAM Qualifications Candidate Handbook This handbook provides more detailed information on registering as a candidate, learning resources, training courses, booking an exam, exam regulations and what happens after an exam - whether you are successful or unsuccessful. Download here Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total) Other than world-class visuals and slides, this VILT course will include a high level of interaction between the facilitator and participants and group discussion among the participants themselves. There will be a number of exercises & quizzes to demonstrate key points and to give participants the chance to apply learning and appreciate key aspects of best practice. Participants will also have the chance to share examples from their own experience, discuss real problems they are facing and develop actions for improvement when they return to work. Examples of the exercises that are used in this VILT course are as follows: Exercises: Aligning Assets to Business Objectives, Planning for Contingencies, Understanding Function and Failure. Group exercises: Asset Management Decision Making, Incident Review & Operations Optimisation. The workshop content will be adjusted based on the discussions, interests and needs of the participants on the course. Trainer Your expert course leader is a is a highly experienced in maintenance and turnaround specialist. He is a Chartered Mechanical Engineer, having spent 19 years working for BP in engineering, maintenance and turnaround management roles. During this time, he worked on plants at all ages in the lifecycle, from construction, commissioning and operating new assets to maintaining aging assets and decommissioning. He has taken roles in Projects, Human Resources and Integrity Management which give real breadth to his approach. He also specialized in Continuous Improvement, gaining the award of International Petrochemical Coach of the year. He stays up to date with the latest industrial developments through his consulting support for major clients. He is also the Asset Management lead and a VILT specialist, having delivered over 70 days of VILT training in the last year. He has an engaging style and will bring his current industrial experience, proficiency of VILT techniques and diverse content, gathered from a comprehensive training portfolio, to deliver a distinctive training experience. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Course Overview: This course provides in-depth knowledge of cinematography and directing, including the use of different cameras, lighting setups, metering techniques, and creative direction. Students will learn to master key elements of production and post-production processes. Hourly Session Breakdown: 8 one-hour sessions on Skype.

Business Analysis Fundamentals - Solving the Business Problem: On-Demand This course teaches participants the overall process of business analysis and where it fits in the bigger picture of the project life cycle and the business context. The course is interactive and combines discussion, active workshops, and demonstrations of techniques. The goal is bottom-line results that cut through the real-world problems facing people seeking to improve the way they operate to develop new and improved systems and products or otherwise deliver results through project performance. What You Will Learn Upon completion, participants will be able to: Define the solution scope Work with the development team in the systems testing stage Ensure the solution is usable in the business environment Foundation Concepts Defining the Business Analyst Function Role of the Business Analyst as Change Agent An Introduction to the BABOK® Guide Business Analyst Roles and Relationships through the Project Life Cycle Business Analysis Planning and Monitoring - Defining the Process Overview of Business Analysis Planning & Monitoring (BAP&M) BAP&M - Process and Tools BAP&M - Roles and Responsibilities BAP&M - Governance, Information Management & Performance Improvement Elicitation and Collaboration - Gathering and Confirming Information Overview of Elicitation and Collaboration Elicitation and Collaboration Techniques Requirements Life Cycle Management - Maintaining Requirements and Design Information Overview of Requirements Life Cycle Management Requirements Life Cycle Management Tasks - Details Strategy Analysis - Providing Context to Requirements Analysis and Design Definition Overview of Strategy Analysis Analyze Current State Define Future State Assess Risks Define Change Strategy Requirements Analysis and Design Definition - Defining Solution Options Overview of Requirements Analysis and Design Definition (RA&DD) The Anatomy of Requirements RA&DD Task Descriptions RA&DD Techniques Solution Evaluation - Assessing Solution Performance Overview of Solution Evaluation Solution Evaluation Tasks Solution Evaluation in Development Stages Underlying Competencies Overview of Underlying Competencies (UCs) Underlying Competencies - Details

Ruralink Training the home of The Rural Facilitator and the only source of professional learning for Integrated Local Delivery (ILD) practitioners.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Fundamentals for AWS Professionals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and system integrators responsible for using the advanced features of vRealize Automation in enterprise deployments. Overview By the end of the course, you should be able to meet the following objectives Describe and configure the vRealize Automation in a clustered enterprise deployment using VMware vRealize Suite Lifecycle Manager™ Scale VMware Identity Manager™ to support High Availability. Configure security certificates in vRealize Automation from external Certificate Authorities. Describe the clustered deployment architecture, including Kubernetes pods and services. Create and configure advanced blueprints with complex YAML and cloudConfig. Use vRealize Automation advanced blueprints to deploy an actual 2-tier DB-Server using MySQL and phpMyAdmin. Practice troubleshooting techniques with advanced YAML blueprints in vRealize Automation. Use advanced VMware NSX-TTM Data Center networking features including NAT, routed networks, load balancers, security groups, and tags. Use VMware Code Stream™ to integrate vRealize Automation with Kubernetes. Create Code Stream pipelines. Create and use Ansible playbooks that integrate with vRealize Automation. Configure vRealize Automation to integrate with Puppet. Configure and use ABX actions to create day-2 actions and interface with PowerShell scripts. Use vracli commands, log files, and VMware vRealize Log Insight™ to troubleshoot vRealize Automation and vRealize Automation deployments. This five-day course is a follow-on to the VMware vRealize© Automation? Install, Configure, Manage course. In this course you go deeper into the advanced features of vRealize Automation to deploy user systems and interface vRealize Automation with other platforms and you learn how to deploy an enterprise-level cluster environment using LCM. This course relies heavily on hands-on labs. Course Introduction Introductions and course logistics Course objectives vRealize Automation Clustered Deployment Use LCM in a clustered deployment Configure External Certificates Configure NSX-T Data Center load balancer Install vRealize Automation using Clustered Deployment Scale VMware Identity Manager to support High Availability vRealize Automation Clustered Deployment Architecture List of Kubernetes Pods The vRealize Automation Kubernetes Architecture Relationship of Kubernetes Pods to Services Logs and their locations Blueprint deployment workflow with Kubernetes Service interaction Backup strategies and potential problems Advanced Blueprints Use advanced YAML and cloudConfig to deploy a functioning 2-tier application with a phpMyAdmin front-end server and a MySQL database server Use troubleshooting techniques to debug problems in advanced YAML blueprints List the log files that can aid in troubleshooting blueprint deployment Advanced Networking Use VMware NSX-T Data Center advanced features in blueprints Interfacing to IPAMs Use NSX-T Data Center NAT in blueprints Use NSX-T Data Center routed networks Use NSX-T Data Center load balancers Use NSX-T Data Center security groups Use tags with NSX-T Data Center network profiles Using vRealize Orchestrator Create Day-2 Actions with vRealize Orchestrator workflows Troubleshoot vRealize Orchestrator cluster issues Use vRealize Orchestrator to add computer objects to Active Directory when vRealize Automation deploys blueprints Use a tagging approach to vRealize Orchestrator workflows Use dynamic forms with vRealize Orchestrator Using ABX Actions Determine when to use ABX and when to use vRealize Orchestrator Use ABX to create day-2 Actions Call PowerShell from ABX Kubernetes Integration Create a Kubernetes namespace from vRealize Automation Connect to an existing Kubernetes cluster Automate the deployment of an application to a Kubernetes cluster with Code Stream Use Kubernetes in Extensibility Code Stream Create and use CI/CD pipelines Use the Code Stream user interface Add states and tasks to a Code Stream pipeline Integrate code from Code Stream with Git Using GitLab Integration Configure the GitLab Integration Use Gitlab with blueprints Configuration Management Describe the use case of Ansible and Ansible Tower Connect to Ansible Tower Use Ansible playbooks Use Puppet in configuration management Troubleshooting vracli commands and when to use them Check the status of Kubernetes pods and services Correct the state of pods and services Diagnose and solve vRealize Automation infrastructure problems Diagnose and solve vRealize Automation failures to deploy blueprints and services Use vRealize Log Insight for troubleshooting Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the VMware vRealize Automation: Advanced Features and Troubleshooting [v8.x] course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Machine Learning Essentials with Python (TTML5506-P) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.